Daniel Soppet

1.6k total citations
9 papers, 170 citations indexed

About

Daniel Soppet is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Cell Biology. According to data from OpenAlex, Daniel Soppet has authored 9 papers receiving a total of 170 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Pediatrics, Perinatology and Child Health and 2 papers in Cell Biology. Recurrent topics in Daniel Soppet's work include Protein Kinase Regulation and GTPase Signaling (1 paper), Machine Learning in Bioinformatics (1 paper) and Molecular Sensors and Ion Detection (1 paper). Daniel Soppet is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (1 paper), Machine Learning in Bioinformatics (1 paper) and Molecular Sensors and Ion Detection (1 paper). Daniel Soppet collaborates with scholars based in United States, Ukraine and India. Daniel Soppet's co-authors include Mark Willard, Marcie A. Glicksman, David R. Whikehart, A Loewy, Paul S. Changelian, Karina F. Meiri, Robert Newton, Frank McCormick, Dominic Esposito and Harold W. Jaffe and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Brain Research.

In The Last Decade

Daniel Soppet

8 papers receiving 168 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel Soppet United States	7	71	66	23	22	19	9	170
Soo‐Kyung Suh United States	5	19 0.3×	140 2.1×	34 1.5×	35 1.6×	8 0.4×	7	228
S Rogers United Kingdom	7	169 2.4×	61 0.9×	8 0.3×	33 1.5×	8 0.4×	10	323
Mona Mohammad Almramhi United Kingdom	8	56 0.8×	117 1.8×	8 0.3×	10 0.5×	13 0.7×	13	189
S Jansen South Africa	6	16 0.2×	159 2.4×	21 0.9×	20 0.9×	9 0.5×	14	216
Zhi-Hui Deng China	6	85 1.2×	154 2.3×	6 0.3×	22 1.0×	8 0.4×	8	238
Xianming Ding China	4	145 2.0×	141 2.1×	12 0.5×	14 0.6×	10 0.5×	7	351
Sara Isaac Israel	11	18 0.3×	320 4.8×	12 0.5×	21 1.0×	11 0.6×	15	372
Chukai Huang Hong Kong	11	25 0.4×	98 1.5×	39 1.7×	4 0.2×	6 0.3×	32	306
Srivatsan Padmanabhan United States	5	19 0.3×	194 2.9×	10 0.4×	36 1.6×	10 0.5×	5	306
Ezequiel Campos‐Mollo Spain	9	24 0.3×	119 1.8×	32 1.4×	14 0.6×	3 0.2×	21	347

Countries citing papers authored by Daniel Soppet

Since Specialization

Citations

This map shows the geographic impact of Daniel Soppet's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Soppet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Soppet more than expected).

Fields of papers citing papers by Daniel Soppet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Soppet. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Soppet. The network helps show where Daniel Soppet may publish in the future.

Co-authorship network of co-authors of Daniel Soppet

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Soppet. A scholar is included among the top collaborators of Daniel Soppet based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Soppet. Daniel Soppet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Yi, Ming, Daniel Soppet, Frank McCormick, & Dwight V. Nissley. (2024). The prominent pervasive oncogenic role and tissue specific permissiveness of RAS gene mutations. Scientific Reports. 14(1). 25452–25452.

Lai, Lo, Nicole Fer, William Burgan, et al.. (2022). Classical RAS proteins are not essential for paradoxical ERK activation induced by RAF inhibitors. Proceedings of the National Academy of Sciences. 119(5). 18 indexed citations

Sissung, Tristan M., Douglas K. Price, Teri M. Plona, et al.. (2020). Comparison of Eight Technologies to Determine Genotype at the UGT1A1 (TA)n Repeat Polymorphism: Potential Clinical Consequences of Genotyping Errors?. International Journal of Molecular Sciences. 21(3). 896–896. 7 indexed citations

Sissung, Tristan M., Juan J.L. Lertora, Parag Kumar, et al.. (2017). Pharmacogenomics Implementation at the National Institutes of Health Clinical Center. The Journal of Clinical Pharmacology. 57(S10). S67–S77. 16 indexed citations

Johnston, W. Thomas, Nora Mutalima, Benjamin Emmanuel, et al.. (2014). Relationship between Plasmodium falciparum malaria prevalence, genetic diversity and endemic Burkitt lymphoma in Malawi. Scientific Reports. 4(1). 3741–3741. 37 indexed citations

Benahmed, Faiza, Gopal Gopinath, Heather Harbottle, et al.. (2014). Draft Genome Sequences of Streptococcus bovis Strains ATCC 33317 and JB1. Genome Announcements. 2(5). 5 indexed citations

Changelian, Paul S., et al.. (1990). Purification of the growth-associated protein GAP-43 by reversed phase chromatography: amino acid sequence analysis and cDNA identification. Brain Research. 510(2). 259–268. 16 indexed citations

Glicksman, Marcie A., Daniel Soppet, & Mark Willard. (1987). Posttranslational modification of neurofilament polypeptides in rabbit retina. Journal of Neurobiology. 18(2). 167–196. 63 indexed citations

Whikehart, David R. & Daniel Soppet. (1981). The effects of glutathione and adenosine on plasma membrane ATPases of the corneal endothelium. An hypothesis on the stimulatory mechanism of perfused glutathione upon deturgescence. Current Eye Research. 1(8). 451–455. 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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